Long-term scheduling of a single-unit multi-product continuous process to manufacture high performance glass

Ricardo Lima*, Ignacio E. Grossmann, Yu Jiao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

In this paper we address the long-term scheduling of a real world multi-product single stage continuous process for manufacturing glass. This process features long minimum run lengths, and sequence dependent changeovers of the order of days, with high transition costs. The long-term scheduling involves extended time horizons that lead to large scale mixed-integer linear programming (MILP) scheduling models. In order to address the difficulties posed by the size of the models, three different rolling horizon algorithms based on different models and time aggregation techniques are developed. The models are based on the continuous time slot MILP model, and on the traveling salesman model proposed by Erdirik-Dogan and Grossmann (2008). Due to the particular characteristics of the process under study, several new features, including minimum run lengths and changeovers across due dates, are proposed. The performance and characteristics of the proposed rolling horizon algorithms are discussed for one industrial example.

Original languageEnglish (US)
Pages (from-to)554-574
Number of pages21
JournalComputers and Chemical Engineering
Volume35
Issue number3
DOIs
StatePublished - Mar 8 2011

Keywords

  • Glass production
  • MILP
  • Multi-product continuous plants
  • Planning
  • Scheduling

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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